Differential responsiveness in stem height and diameter growth of two<i>Ficus</i>tree species in the Three Gorges reservoir region of China as affected by branch removal
Bibliographic record
Abstract
In the Three Gorges reservoir region of China, Ficus microcarpa L. and Ficus virens Ait. var. sublanceolata (Miq.) Corner (Moraceae) are widely used in greening and ecological restoration following construction, including roads, railways, towns, etc. Branch cuttings are used for cultivating saplings of these trees. We conducted a 4 year experiment that included four branch-removal intensities to evaluate the influence of branch removal on stem height and diameter growth of these Ficus spp. It was found that branch removal did not affect the stem height growth of either F. microcarpa or F. virens, but decreased the growth of their stem basal diameters. The reduction in growth of stem basal diameter was intensified with branch removal. As expected, branch removal decreased the tapering of whole tree stems, but this effect was mainly due to the alteration of the shape of the bare stem part, and the shape of the stem part within the intact upper crown was not affected by the treatment. The data clearly showed that stem height growth was less sensitive than stem diameter growth to branch removal, and that the response of stem diameter growth to branch removal differed between bare and intact stem parts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".